Shaping the Wavefront of Incident Light with a Strong Robustness Particle Swarm Optimization Algorithm☆☆Supported by the National Key Research and Development Program of China under Grant No 2017YFB1104500, the Natural Science Foundation of Beijing under Grant No 7182091, the National Natural Science Foundation of China under Grant No 21627813, and the Fundamental Research Funds for the Central Universities under Grant

Abstract

We demonstrate a modified particle swarm optimization (PSO) algorithm to effectively shape the incident light with strong robustness and short optimization time. The performance of the modified PSO algorithm and genetic algorithm (GA) is numerically simulated. Then, using a high speed digital micromirror device, we carry out light focusing experiments with the modified PSO algorithm and GA. The experimental results show that the modified PSO algorithm has greater robustness and faster convergence speed than GA. This modified PSO algorithm has great application prospects in optical focusing and imaging inside in vivo biological tissue, which possesses a complicated background.